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DTSTART;TZID=America/Los_Angeles:20260204T133000
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SUMMARY:CNC Presents: Andrea Stocco\, PhD (UW Psychology)
DESCRIPTION:“Computational Phenotyping of Forgetting”\nAbstract: \nForgetting is among the most salient aspects of long-term memory\, yet it is not directly observable\, posing a fundamental challenge for theory. In this talk\, I argue that forgetting is best captured as a latent computational process that can be inferred through computational phenotyping—the use of formal models of cognition to estimate theoretically meaningful parameters from behavior. I will present a series of experiments showing that parameters governing forgetting can be reliably identified at the individual level\, remain stable across time\, and provide diagnostic leverage beyond surface performance measures. \nI will then introduce preliminary EEG and fMRI evidence linking these computational phenotypes to neural dynamics\, providing converging constraints on the underlying mechanisms. Together\, these results inform a long-standing theoretical debate in memory research: whether forgetting reflects the decay of memory representations or a progressive failure of access to otherwise intact representations. More broadly\, this work illustrates how computational phenotyping can serve as a bridge between cognitive theory\,  neural data\, and clinical applications\, enabling stronger tests of mechanistic accounts of memory.
URL:https://nbio.uw.edu/event/cnc-presents-andrea-stocco-phd-uw-psychology/
LOCATION:Health Sciences K-069
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/png:https://nbio.uw.edu/wp-content/uploads/2026/02/Screenshot-2026-02-02-at-1.43.42-PM-e1770068695445.png
ORGANIZER;CN="UW Computational Neuroscience Center (CNC)":MAILTO:compneuro@u.washington.edu
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